Abstract

The aim of this thesis was to explore conditions for selection and genetic improvement of fertility and longevity in dairy cattle. The background is that single-trait selection for milk production is known to lead to impaired fertility and consequently to shorter lifespan. This in turn results in financial losses and ethical concerns. Since many years, the Swedish dairy farmers have recorded milk production, fertility and health status, which have made studies based on field data possible. The statistical analyses in this thesis confirmed the unfavourable genetic relationship between milk production and fertility. The magnitude of the antagonistic genetic correlations increased with increasing lactation number, which might be a reflection of increased milk production. The results show that fertility during the heifer period should be considered as a separate trait from fertility of the lactating cow. A combination of several fertility traits, spanning the whole reproductive complex, is to be recommended for selection purposes. In the future, it would be desirable to move towards traits more closely reflecting the physiology, for example hormone evels, as management heavily influences many of the traits used today. If direct information on fertility and diseases is not available, measures of longevity can be used ndirectly to improve these traits genetically. Defining longevity on the basis of the reason for culling increased the heritability of the trait. The risk of being culled because of impaired fertility, mastitis, or low production differed between and within lactations. In early lactation, there was a high risk of being culled for mastitis, while fertility problems resulted in culling toward the end of lactation. The risk of being culled for mastitis or low production was very low in first lactation. It was found to be more effective to select on cause-specific than on overall longevity, although direct selection based on fertility and mastitis was always superior. In this thesis, longevity analysed on a lactation basis rather than on the entire length of productive life was introduced. The approach resulted in a better fit of the model and may help clear the way for multiple-trait analysis of longevity and traits analysed with linear models, e.g. fertility.